Rupak Vignesh Swaminathan

20 papers A 2Misc 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM. CoRR Ryan Solgi, Parsa Madinei, Jiayi Tian, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
2025	—	`conf`	SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning. ACL (1) Prabhat Pandey, Rupak Vignesh Swaminathan, K. V. Vijay Girish, Arunasish Sen, Jian Xie, Grant P. Strimel, Andreas Schwarz
2025	J	`jnl`	SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning. CoRR Prabhat Pandey, Rupak Vignesh Swaminathan, K. V. Vijay Girish, Arunasish Sen, Jian Xie, Grant P. Strimel, Andreas Schwarz
2025	—	`conf`	Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models. EMNLP (Findings) Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025	J	`jnl`	Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models. CoRR Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025	J	`jnl`	SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes. CoRR Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
2025	—	`conf`	Wanda++: Pruning Large Language Models via Regional Gradients. ACL (Findings) Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2025	J	`jnl`	Wanda++: Pruning Large Language Models via Regional Gradients. CoRR Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2024	Misc	`conf`	Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy. ICASSP Rupak Vignesh Swaminathan, Grant P. Strimel, Ariya Rastrow, Sri Harish Mallidi, Kai Zhen, Hieu Duy Nguyen, Nathan Susanj, Athanasios Mouchtaris
2023	J	`jnl`	Accelerator-Aware Training for Transducer-Based Speech Recognition. CoRR Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow
2022	—	`conf`	Accelerator-Aware Training for Transducer-Based Speech Recognition. SLT Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow
2022	—	`conf`	Contextual-Utterance Training for Automatic Speech Recognition. IberSPEECH Alejandro Gómez Alanís, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler
2022	J	`jnl`	Contextual-Utterance Training for Automatic Speech Recognition. CoRR Alejandro Gómez Alanís, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler
2022	A	`conf`	ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. INTERSPEECH Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
2022	J	`jnl`	ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. CoRR Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
2021	A	`conf`	CoDERT: Distilling Encoder Representations with Co-Learning for Transducer-Based Speech Recognition. Interspeech Rupak Vignesh Swaminathan, Brian John King, Grant P. Strimel, Jasha Droppo, Athanasios Mouchtaris
2021	J	`jnl`	CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition. CoRR Rupak Vignesh Swaminathan, Brian John King, Grant P. Strimel, Jasha Droppo, Athanasios Mouchtaris
2021	—	`conf`	Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models. TDS Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi, Chunchuan Lyu, Athanasios Mouchtaris, Siegfried Kunzmann
2021	J	`jnl`	Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models. CoRR Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi, Chunchuan Lyu, Athanasios Mouchtaris, Siegfried Kunzmann
2015	—	`conf`	Blizzard Challenge 2015 : Submission by DONLab, IIT Madras. Blizzard Challenge Anusha Prakash, Arun Baby, Aswin Shanmugam Subramanian, Jeena J. Prakash, N. L. Nishanthi, Raghava Krishanan, Rupak Vignesh Swaminathan, Hema A. Murthy